MACHINE TRANSLATION METHODS AND SOME CURRENT TRENDS

Автор(и)

  • Ольга Шевченко National Technical University of Ukraine ‘Igor Sikorsky Kyiv Polytechnic Institute’ https://orcid.org/0000-0001-6726-7269

DOI:

https://doi.org/10.30888/2663-5712.2023-19-03-063

Ключові слова:

Rule-based machine translation (RBMT), Statistical machine translation (SMT), Neural machine translation (NMT), parallel corpora, encoder, decoder

Анотація

This paper provides an overview of some major machine translation methods designed to speed up the rate of multilingual text translation. Machine translation is achieved by computer software transforming text from one language to another. At present, d

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Посилання

Bahdanau D,, et al. (2014). Neural Machine Translation by Jointly Learning to Align and Translate [Computer Science CoRR]. https://www.semanticscholar.org/paper/Neural-Machine-Translation-by-Jointly-Learning-to-Bahdanau-Cho/fa72afa9b2cbc8f0d7b05d52548906610ffbb9c5

Baniz B.(2020). Machine Translation: A Critical Look At The Performance Of Rule-Based And Statistical Machine Translation [Cadernos de Traducao], issue 40,vol 1 pp. 54-71. https://www.scielo.br/j/ct/a/6yh6JpvZDG4Rq6nFG6KQXmy/?lang=en

Koehn P., Och F.J., Marcu D. (2003). Statistical phrase-based machine translation [Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics], pp.127-133. https://aclanthology.org/N03-1017/

Shen G.R. (2010). Corpus-based Approach to Translation Studies [Cross Cultural Communication] issue 6, volume 4, pp.181-187. http://www.cscanada.net/index.php/ccc/article/view/j.ccc.1923670020100604.010

Опубліковано

2023-05-30

Як цитувати

Шевченко, О. (2023). MACHINE TRANSLATION METHODS AND SOME CURRENT TRENDS. SWorldJournal, 3(19-03), 120–124. https://doi.org/10.30888/2663-5712.2023-19-03-063

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